Artificial Intelligence: A New Synthesis (The Morgan Kaufmann Series in Artificial Intelligence) Hardcover – 17 Apr 1998
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About the Author
Nils J. Nilsson's long and rich research career has contributed much to AI. He has written many books, including the classic Principles of Artificial Intelligence. Dr. Nilsson is Kumagai Professor of Engineering, Emeritus, at Stanford University. He has served on the editorial boards of Artificial Intelligence and Machine Learning and as an Area Editor for the Journal of the Association for Computing Machinery. Former Chairman of the Department of Computer Science at Stanford, and former Director of the SRI Artificial Intelligence Center, he is also a past president and Fellow of the American Association for Artificial Intelligence.
Top Customer Reviews
It is not intended for those wanting to research any particular AI discipline in detail, but provides a "leg-up" to those setting out in their studies of AI.
The review of neural networks (chapter 3) (of particular interest to me) is brief, covers salient maths for layered feedforward networks and backpropagation during supervised training, but does not cover recurrent networks or unsupervised learning (even for layered networks).
I would recommend this book for undergraduate students and those interested in a technical general treatment of AI.
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